Abstract
Product developments become complex and diversified. Many products appear which have a variety of features for adapting a customer’s preference. A single evaluating attributes’ set don’t perform to evaluate these products. Because products which straddle multiple market segments are evaluated by customer’s preferences which switch with the usage. Therefore it is necessary to evaluate products by a family of evaluating attributes’ sets (hereinafter referred to as "FEAS") which corresponds to the customer’s preferences. Mogawa [1] proposed an algorithm which guarantees to obtain FEAS under the conditions that Customer’s Preference Grid (hereinafter referred to as " CPG " )is reflexive. It is not until the algorithm limited relations of customer’s preference that this allows to obtain FEAS. Our main aim is to provide a generalized algorithm for obtaining FEAS. Where, we present the conditions under FEAS existing and we extract the required relations of evaluating attribute for obtaining FEAS. We propose an algorithm for obtaining FEAS by defining propositions and an extraction procedure.
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Mogawa, T., Saitoh, F., Ishizu, S.: Algorithm for a Family of Evaluation Attributes Sets Representing Customer Preference Relation. In: Proceedings of Asia Network Quality Congress 2012 (ANQ 2012 ), vol. 10, p. 86 (2012)
Ghehmann, A., Nagai, Y., Yoshida, O., Ishizu, S.: Rough evaluation structure: Application of rough set theory to generate simple rules for inconsistent preference relation. Kansei Engineering International Journal 10(1), 1–9 (2010)
Ghehmann, A., Ishizu, S.: Minimal Evaluation Structure for Inconsistent Multi-attributes Decision-Making – Selection and Addtion Method of Evaluation Attributes. Journal of the Japan Society for Management Information 14(1), 85–95 (2005)
Ishizu, S., Gehrmann, A.: Rough preference: extended concept of rough se theory. In: ISQFD 2006, Tokyo (2006)
Pawlak, Z., Slowinski, R.: Rough set approach to multi-attribute decision analysis. European Journal of Operations Research 72, 443–459 (1994)
Saaty, T.L.: Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World, vol. 2. Rws Pubns. (1999/2000)
Keeney, R.L., Raiffa, H.: Decision with multiple objectives, preferences and value tradeoffs. John Wiley & Sons Inc. (1976)
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Mogawa, T., Saitoh, F., Ishizu, S. (2013). Generalized Algorithm for Obtaining a Family of Evaluating Attributes’ Sets Representing Customer’s Preference. In: Yamamoto, S. (eds) Human Interface and the Management of Information. Information and Interaction Design. HIMI 2013. Lecture Notes in Computer Science, vol 8016. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39209-2_56
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DOI: https://doi.org/10.1007/978-3-642-39209-2_56
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